P2P

63 I L T A N E T . O R G with LLM creators to develop models for legal industry use. Our first-hand experience using language models dates to 2018 with Google BERT. Today, we're working directly with LLM creators and trusted cloud providers to develop faster, more accurate, transparent, and secure Gen AI offerings, giving users peace of mind when leveraging these advanced technologies. Ensuring Privacy, Security, and Compliance Globally Similarly, Gen AI privacy and security issues remain a high priority for legal professionals. Of concern is that sensitive inputs or uploaded documents might be searchable or used to train core LLM models. To alleviate concerns, solution providers are working with cloud hosts like AWS Bedrock and Microsoft Azure to create "walled gardens" –– secure cloud environments that ensure confidential data stays within the system and is not used to train the model. Data privacy best practices dictate that all user data should be encrypted in transit for added security. Other privacy safeguards should be built into Gen AI applications, such as purging uploaded documents and prompt histories –– manually or automatically at the end of each session or a defined period of inactivity. Regulatory compliance is equally concerning, especially among multinational organizations looking to implement Gen AI solutions globally. Since global jurisdictions may have different privacy and data- sharing rules and expectations (e.g., the EU's GDRP, etc.), organizations must ensure that the Gen AI solutions they implement comply with all applicable laws before rolling them out to their global employees. Solution providers that already have a global footprint will have an advantage over smaller providers in helping global organizations comply with local regulations. This compliance could be leveraged by organizations to market globally compliant data solutions to prospective customers and win new business. Gen AI will facilitate the inspection and analysis of customers' proprietary data–– but this needs to be done safely and securely. The Case for Integrated Gen AI Applications Demand for legal Gen AI applications is already unprecedented. According to MarketResearch.Biz, legal industry spending on Gen AI is projected to reach $65 million in 2023 and surpass $675 million by 2032, with a CAGR of 30.7% from 2023 to 2032. However, as we've seen in the past with other transformative technologies, the initial rush to purchase point solutions generally leads to increased friction, frustration, and dissatisfaction upon discovering their lack of interoperability with existing applications, data sources, workflows, and business functions or their inability to support global legal operations. "Gen AI privacy and security issues remain a high priority for legal professionals."

• Cover